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    Model for tracking moving targets using heterogeneous camera systems

    Access Status
    Fulltext not available
    Authors
    Ning, Nan
    Tan, Tele
    Date
    2007
    Type
    Journal Article
    
    Metadata
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    Citation
    Ning, Nan and Tan, Tele. 2007. Model for tracking moving targets using heterogeneous camera systems. International Journal of Information and Systems Sciences 3 (3): pp. 406-419.
    Source Title
    International Journal of Information and Systems Sciences
    Additional URLs
    http://www.math.ualberta.ca/ijiss/SS-Volume-3-2007/No-3-07/SS-07-03-05.pdf
    ISSN
    1708296X
    Faculty
    Department of Mathematics and Statistics
    School of Science and Computing
    Faculty of Science and Engineering
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/17887
    Collection
    • Curtin Research Publications
    Abstract

    Sufficient camera coverage is critical to the maintenance of the track continuity of a moving target across a large scale surveillance area. Due to economic and bandwidth reasons, it is often not possible to ensure that cameras within a large distributed surveillance system always have overlapping coverage. Traditional tracking schemes that rely on fixed stationary cameras are prone to fail when the non-overlapping coverage between adjacent cameras becomes significant. In this paper, we present a novel approach on building a tracking model that uses heterogeneous camera systems to reduce the non-overlapping problem. We incorporate the surveillance cameras that are installed on public transport vehicles such as buses into the existing distributed camera system to dynamically increase the surveillance space, as when these vehicles move around the surveillance area the on-board cameras act as mobile video sensors. We adopt a grid-based filtering approach together with a road map to systematically integrate the multiple observations coming from the heterogeneous sensors. Simulated experimental results have shown that our approach has the potential to deal with large-scale observations that are prevalent in city-wide implementation.

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